Samuel Schulter

80 papers A* 27A 5B 1Journal 34Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions. CoRR Sirui Xu, Samuel Schulter, Morteza Ziyadi, Xialin He, Xiaohan Fei, Yu-Xiong Wang, Liangyan Gui
2025	A*	`conf`	GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection. CVPR Dusan Malic, Christian Fruhwirth-Reisinger, Samuel Schulter, Horst Possegger
2025	J	`jnl`	GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection. CoRR Dusan Malic, Christian Fruhwirth-Reisinger, Samuel Schulter, Horst Possegger
2025	J	`jnl`	GBlobs: Local LiDAR Geometry for Improved Sensor Placement Generalization. CoRR Dusan Malic, Christian Fruhwirth-Reisinger, Alexander Prutsch, Wei Lin, Samuel Schulter, Horst Possegger
2025	A*	`conf`	LiSu: A Dataset and Method for LiDAR Surface Normal Estimation. CVPR Dusan Malic, Christian Fruhwirth-Reisinger, Samuel Schulter, Horst Possegger
2025	J	`jnl`	LiSu: A Dataset and Method for LiDAR Surface Normal Estimation. CoRR Dusan Malic, Christian Fruhwirth-Reisinger, Samuel Schulter, Horst Possegger
2025	A*	`conf`	Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation. ICLR Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker
2025	J	`jnl`	STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving. CoRR Christian Fruhwirth-Reisinger, Dusan Malic, Wei Lin, David Schinagl, Samuel Schulter, Horst Possegger
2024	A*	`conf`	AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CVPR Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker
2024	J	`jnl`	AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CoRR Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker
2024	A*	`conf`	Generating Enhanced Negatives for Training Language-Based Object Detectors. CVPR Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter
2024	J	`jnl`	Generating Enhanced Negatives for Training Language-Based Object Detectors. CoRR Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter
2024	—	`conf`	Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in Practice. CVPR Workshops Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker
2024	J	`jnl`	Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation. CoRR Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker
2024	J	`jnl`	Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation. CoRR Qilong Zhangli, Di Liu, Abhishek Aich, Dimitris N. Metaxas, Samuel Schulter
2024	A*	`conf`	Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CVPR Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker
2024	J	`jnl`	Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CoRR Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker
2024	A*	`conf`	Taming Self-Training for Open-Vocabulary Object Detection. CVPR Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, B. G. Vijay Kumar, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas
2023	A*	`conf`	Efficient Controllable Multi-Task Architectures. ICCV Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh
2023	J	`jnl`	Efficient Controllable Multi-Task Architectures. CoRR Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh
2023	A*	`conf`	Exploring Question Decomposition for Zero-Shot VQA. NeurIPS Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu
2023	J	`jnl`	Exploring Question Decomposition for Zero-Shot VQA. CoRR Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu
2023	J	`jnl`	Improving Pseudo Labels for Open-Vocabulary Object Detection. CoRR Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas
2023	A*	`conf`	NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization. CVPR Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker
2023	J	`jnl`	NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization. CoRR Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker
2023	A*	`conf`	OmniLabel: A Challenging Benchmark for Language-Based Object Detection. ICCV Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas
2023	J	`jnl`	OmniLabel: A Challenging Benchmark for Language-Based Object Detection. CoRR Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas
2023	A*	`conf`	Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR Zaid Khan, B. G. Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker
2023	J	`jnl`	Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CoRR Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker
2022	A*	`conf`	Controllable Dynamic Multi-Task Architectures. CVPR Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker
2022	J	`jnl`	Controllable Dynamic Multi-Task Architectures. CoRR Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker
2022	—	`conf`	Exploiting Unlabeled Data with Vision and Language Models for Object Detection. ECCV (9) Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, B. G. Vijay Kumar, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas
2022	J	`jnl`	Exploiting Unlabeled Data with Vision and Language Models for Object Detection. CoRR Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B. G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas
2022	A*	`conf`	MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation. CVPR Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon
2022	J	`jnl`	MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation. CoRR Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon
2022	A*	`conf`	On Generalizing Beyond Domains in Cross-Domain Continual Learning. CVPR Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker
2022	J	`jnl`	On Generalizing Beyond Domains in Cross-Domain Continual Learning. CoRR Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker
2022	J	`jnl`	Single-Stream Multi-Level Alignment for Vision-Language Pretraining. CoRR Zaid Khan, Vijay Kumar B. G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu
2022	—	`conf`	Single-Stream Multi-level Alignment for Vision-Language Pretraining. ECCV (36) Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu
2021	J	`jnl`	Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning. CoRR Weizhe Liu, David Ferstl, Samuel Schulter, Lukas Zebedin, Pascal Fua, Christian Leistner
2020	—	`conf`	Domain Adaptive Semantic Segmentation Using Weak Labels. ECCV (9) Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker
2020	J	`jnl`	Domain Adaptive Semantic Segmentation Using Weak Labels. CoRR Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker
2020	—	`conf`	Object Detection with a Unified Label Space from Multiple Datasets. ECCV (14) Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu
2020	J	`jnl`	Object Detection with a Unified Label Space from Multiple Datasets. CoRR Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu
2020	A*	`conf`	Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. CVPR Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker
2020	—	`conf`	Shuffle and Attend: Video Domain Adaptation. ECCV (12) Jinwoo Choi, Gaurav Sharma, Samuel Schulter, Jia-Bin Huang
2020	A*	`conf`	Understanding Road Layout From Videos as a Whole. CVPR Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker
2020	J	`jnl`	Understanding Road Layout from Videos as a Whole. CoRR Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker
2019	A*	`conf`	A Parametric Top-View Representation of Complex Road Scenes. CVPR Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker
2019	A*	`conf`	Domain Adaptation for Structured Output via Discriminative Patch Representations. ICCV Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
2019	J	`jnl`	Domain Adaptation for Structured Output via Discriminative Patch Representations. CoRR Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
2019	—	`conf`	Learning To Simulate. ICLR (Poster) Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker
2019	A	`conf`	Memory Warps for Long-Term Online Video Representations and Anticipation. WACV Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker
2018	J	`jnl`	A Parametric Top-View Representation of Complex Road Scenes. CoRR Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker
2018	J	`jnl`	Learning To Simulate. CoRR Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker
2018	A*	`conf`	Learning to Adapt Structured Output Space for Semantic Segmentation. CVPR Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker
2018	J	`jnl`	Learning to Adapt Structured Output Space for Semantic Segmentation. CoRR Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker
2018	—	`conf`	Learning to Look around Objects for Top-View Representations of Outdoor Scenes. ECCV (15) Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker
2018	J	`jnl`	Learning to Look around Objects for Top-View Representations of Outdoor Scenes. CoRR Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker
2018	J	`jnl`	Memory Warps for Learning Long-Term Online Video Representations. CoRR Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker
2017	J	`jnl`	Deep Network Flow for Multi-Object Tracking. CoRR Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker
2017	A*	`conf`	Deep Network Flow for Multi-object Tracking. CVPR Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker
2016	J	`jnl`	Interactive 3D Segmentation of Rock-Art by Enhanced Depth Maps and Gradient Preserving Regularization. ACM Journal on Computing and Cultural Heritage Matthias Zeppelzauer, Georg Poier, Markus Seidl, Christian Reinbacher, Samuel Schulter, Christian Breiteneder, Horst Bischof
2015	A*	`conf`	Conditioned Regression Models for Non-blind Single Image Super-Resolution. ICCV Gernot Riegler, Samuel Schulter, Matthias Rüther, Horst Bischof
2015	A*	`conf`	Fast and accurate image upscaling with super-resolution forests. CVPR Samuel Schulter, Christian Leistner, Horst Bischof
2015	A	`conf`	Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties. BMVC Georg Poier, Konstantinos Roditakis, Samuel Schulter, Damien Michel, Horst Bischof, Antonis A. Argyros
2015	J	`jnl`	Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties. CoRR Georg Poier, Konstantinos Roditakis, Samuel Schulter, Damien Michel, Horst Bischof, Antonis A. Argyros
2015	—	`conf`	Interactive segmentation of rock-art in high-resolution 3D reconstructions. Digital Heritage Matthias Zeppelzauer, Georg Poier, Markus Seidl, Christian Reinbacher, Christian Breiteneder, Horst Bischof, Samuel Schulter
2015	—	`conf`	You Should Use Regression to Detect Cells. MICCAI (3) Philipp Kainz, Martin Urschler, Samuel Schulter, Paul Wohlhart, Vincent Lepetit
2014	A*	`conf`	Accurate Object Detection with Joint Classification-Regression Random Forests. CVPR Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof
2014	—	`conf`	Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras. GCPR Georg Poier, Samuel Schulter, Sabine Sternig, Peter M. Roth, Horst Bischof
2013	A*	`conf`	Alternating Decision Forests. CVPR Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof
2013	A*	`conf`	Alternating Regression Forests for Object Detection and Pose Estimation. ICCV Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof
2013	—	`conf`	Ordinal Random Forests for Object Detection. GCPR Samuel Schulter, Peter M. Roth, Horst Bischof
2013	A	`conf`	Unsupervised Object Discovery and Segmentation in Videos. BMVC Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof
2012	A	`conf`	Discriminative Hough Forests for Object Detection. BMVC Paul Wohlhart, Samuel Schulter, Martin Köstinger, Peter M. Roth, Horst Bischof
2011	B	`conf`	AVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events. AVSS Josef A. Birchbauer, Samuel Schulter, René Schuster, Georg Poier, Martin Winter, Peter Schallauer, Peter M. Roth, Horst Bischof
2011	A*	`conf`	Improving classifiers with unlabeled weakly-related videos. CVPR Christian Leistner, Martin Godec, Samuel Schulter, Amir Saffari, Manuel Werlberger, Horst Bischof
2011	—	`conf`	Multi-cue learning and visualization of unusual events. ICCV Workshops René Schuster, Samuel Schulter, Georg Poier, Martin Hirzer, Josef A. Birchbauer, Peter M. Roth, Horst Bischof, Martin Winter, Peter Schallauer
2011	A	`conf`	On-line Hough Forests. BMVC Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof, Luc Van Gool